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I am a postdoctoral researcher at the Division of Applied Mathematics of Brown University, working under the supervision of George Karniadakis. In my research, I am focusing on physics-informed deep learning and meta-learning for addressing forward and inverse problems involving partial differential equations. 

Click here for more information on my research project.

Prior to joining Brown University, I received my Ph.D. degree in computational stochastic dynamics from Columbia University under the supervision of Ioannis Kougioumtzoglou.

During my doctoral studies, I developed analytical and numerical stochastic methodologies for the analysis and optimization of complex engineering systems under the presence of uncertainties. My research has led to significant advancements of the Wiener path integral technique.

I hold an M.Sc. and a Diploma in Engineering from UT Austin and University of Patras (Greece), respectively.

My work has been awarded with the Mindlin Scholar in Civil Engineering and Engineering Mechanics award from Columbia University, with two Best Student Paper awards from the Engineering Mechanics Institute, and with several fellowships.